Research On Energy Optimization Of WRSN Based On Multi-charger Cooperation

At present,wireless sensor networks(WSN)play an important role in different fields,but the network energy problem has been restricting the development of WSN.With the rapid development of microelectronics integration technology and wireless energy transmission technology,wireless rechargeable sensor network(WRSN)will break through the limitations of battery capacity and application environment in traditional WSN and become an emerging research hotspot and trend.WRSN uses mobile charging devices to supply power to rechargeable sensor nodes deployed in the network and uses base stations and network platforms to track and monitor node information.This can not only solve the problem of premature network death caused by insufficient energy consumption in traditional WSN,but also realize scientific charging path and node information visualization.When designing the energy optimization scheme,this paper mainly considers the energy saving of the network itself and the power supply of external mobile charging equipment.The main work is as follows:(1)This paper analyzes the scheduling problem of mobile charging equipment in WRSN.We use a single mother mobile charging vehicle and multiple sub-mobile charging vehicles to design a set of collaborative energy supply scheme with minimum death nodes and low charging costs.This scheme proposed a cooperative energy supply algorithm based on Kmean ++ clustering in WRSN.Firstly,k-mean++ was used to cluster nodes in the network,and then virtual force was used to assign charging anchor points of each cluster.The mother mobile charging vehicle cooperated with multiple sub-mobile vehicles to supplement the energy of sensor nodes.It mainly solves the problems of data transmission and mobile charging device path planning algorithm.The simulation results show that the algorithm in the network node on the survival rate is better than other contrast algorithm,in the ideal state even permanent operation can achieve network,mobile charging equipment movement distance decreased about20% ～ 40%,charging time and correlation algorithm is also decreased by10% ～ 20%,can not only prolong the working life of the network,also can effectively save charge cost.(2)For network charging at the same time the network lifetime maximization problem of minimizing cost,this paper designed the node scheduling based on disk model with multiple charger based on energy optimization algorithm and the node cooperative charger collaborative energy optimization algorithm,according to different network coverage model,the nodes in a network of clustering and sleep scheduling,reduce the number of nodes in the network,Prolong the network charging interval cycle,save the charging cost,prolong the network service life.Then,based on the artificial potential field method and immune algorithm,the mobile path of the mobile charging device is planned to reduce the travel distance and charging waiting time of the mobile charging device and improve the charging efficiency.To verify the feasibility of the scheme,a series of simulation experiments are carried out.The simulation results under different network models show that the network life increases about10%～15% and the coverage increases by about 20%.